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Walmart Sales Forecasting Data Science Challenge

Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

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What will you learn

  • Timeseries Dataset
  • Conditional statements in R
  • Loops in R
  • Data manipulation in R
  • plyr - R package
  • Forecast - R package
  • Reshape - R package
  • Machine learning in R

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.


  • R-Studio
  • Language used: R

Project Description

We have been provided with historical sales Data of 45 Walmart stores located in different regions. Each store contains many departments and we have to project the sales for each department in each store.

To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.



Advanced Analytics SME

"He is currently associated with International Store Analytics lab. He is a seasoned Data Science professional with a Master's Degree in Predictive Modeling and 4+ years of experience in building and deploying end-to-end Machine Learning models"